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Python Llm Jobs in Napa, CA (NOW HIRING)

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Python * Ability to work autonomously and drive initiatives across multiple product areas and ...

Sciforium

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Develop high-throughput data processing scripts using Python, leveraging multiprocessing and ... Experience building massive LLM training sets from scratch , including raw web crawls (e.g., Common ...

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All JobsPython Llm JobsPython Llm Jobs in Napa, CA

Python Llm information

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$14

$66

$97

How much do python llm jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for python llm in Napa, CA is $66.45, according to ZipRecruiter salary data. Most workers in this role earn between $54.76 and $75.48 per hour, depending on experience, location, and employer.

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Napa, CA? For Python Llm jobs in Napa, CA, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Napa, CA look for? The top searched job categories for Python Llm jobs in Napa, CA are:
What cities near Napa, CA are hiring for Python Llm jobs? Cities near Napa, CA with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Napa, CA as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $138,208 per year, or $66.4 per hour.

AI Developer with Python

MphasiS Corporation USA

San Francisco, CA • On-site

$59.25 - $81.50/hr

Other

Posted 4 days ago

Job description

Job Title : AI Developer with Python with Google Cloud Platform

Location: SFO, CA and Berkeley Height, NJ

(In-Person Interview is mandatory)

A Python AI Developer job description requires strong programming skills, Generative AI expertise, and backend API development. Key requirements typically include Python proficiency, LLM frameworks, and cloud deployment.

Key Responsibilities

  • Design and build AI-driven applications, data pipelines, and microservices using Python.
  • Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI.
  • Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs.
  • Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, Google Cloud Platform).

Required Skills

  • 6+ years of total software experience with deep proficiency in Python.
  • Hands-on experience with GenAI, NLP, prompt engineering, and vector stores.
  • Knowledge of web frameworks such as FastAPI, Flask, or Django.
  • Familiarity with MLOps practices, Git version control, and containerization

Apply